Grant EPILEPSIAE 1 Aims – Implementation of large, high-quality polymodal data from patients with epilepsy for the purpose of advanced analyses leading to an improved prediction of epileptic seizures Planned data content 250 surface, 50 intracranial continuous long-term EEG data sets with annotations Imaging data (3D MR data sets) Structured metadata (clinical) Derived features based on EEG analysis EUROPEAN EPILEPSY DATABASE

Grant EPILEPSIAE 2 Database: preparatory steps Specific issues: – Safety of personal data Pseudonymization of patient data Deletion of data contents with identifying character – Ethical issues Individual informed patient consent Restrictions of access and use – Management of multimodal data raw data (e.g. EEG/MRI data) meta data (e.g. patient history, seizure counts, semiological characteristics, EEG annotations, electrode positions) – Multisite access to local databases of consortium members (data warehouse approach) Multiple local databases Procedures do assure identical data content CoimbraFreiburg Paris Replicated European database Client interfaces SQL

Grant EPILEPSIAE 3 Clinical procedures Patient selection Criteria for data quality – Standardized annotations (types and positioning of seizure- related markers: Clinical seizure onset / first behavioural alteration EEG seizure onset / first EEG change Spikes Subclinical events – Uniform nomenclature of EEG channels – EEG review Metadata (types and inclusion form) Consortium consent on Inclusion criteria (Paris, 2008): Patients with focal and multifocal epilepsy Minimum duration of continuous EEG recordings: 96h (4 days) Minimal number of seizures: 5 with an interseizure interval of ≥ 3.5h Information on subclinical EEG events and sleep stages in the preictal period Appropriate electrode implantation for focus identification

Grant EPILEPSIAE 4 T1.1: clinical procedures Sleep staging EEG onset Early propagation EEG pattern morphology

Grant EPILEPSIAE 5 Database client interfaces Coimbra Freiburg Paris

Grant EPILEPSIAE 6 Database development Storage of sample values: External binary files: space efficient & the way people are used to work Inside database tables: flexible for querying Database system: Open source (PostgreSQL) vs. Oracle (commercial) Decision for Oracle to allow the storage of the samples inside the database Replicated vs. distributed database Local datatbase at every site, replicated content Not a single distributed database because of immense data traffic Estimation of data volume: > 50Tb

Present status The database is open for collaboration with US-databases